Planogram compliance using automated item-tracking

A computer-implemented method comprising:

• determining a planogram specifying items of a item type associated with a first location;
• receiving, over at least one pre-defined period of time, item read events for the items of the item type from a first receiver associated with the first location and a second receiver associated with a second location that is different than the first location;
• determining a first counting of the item read events associated with the first receiver within the at least one pre-defined period of time;
• determining a second counting of the item read events associated with the second receiver within the at least one pre-defined period of time;
• applying a clustering algorithm to the first counting and the second counting to determine a first cluster corresponding to a first subset of the items and a second cluster corresponding to a second subset of the items;
• determining, for item read events and associated items within a corresponding one of the at least one pre-defined period of time, a first number of times each item was read by the first receiver within the first counting and a second number of times each item was read by the second receiver within the second counting;
• providing a graph of the first number of times relative to the second number of times for each item;
• determining, for each cluster, whether the item read events contained therein indicate a presence of the corresponding subset of the items at the second location and in non-compliance with the planogram;
• and
• tracking the items and the item read events for each cluster over the at least one pre-defined period of time to analyze levels of planogram non-compliance.

A computer program product, the computer program product being tangibly embodied on a non-transitory computer-readable medium and including executable code that, when executed, is configured to cause a data processing apparatus to:

• determine a planogram specifying items of a item type associated with a first location;
• receive, during at least one pre-defined period of time, item read events for the items of the item type from a first receiver associated with the first location and a second receiver associated with a second location that is different than the first location;
• determine a first counting of the item read events associated with the first receiver within the at least one pre-defined period of time;
• determine a second counting of the item read events associated with the second receiver within the at least one pre-defined period of time;
• apply a clustering algorithm to the first counting and the second counting to determine a first cluster corresponding to a first subset of the items and a second cluster corresponding to a second subset of the items;
• determine, for item read events and associated items within a corresponding one of the at least one pre-defined period of time, a first number of times each item was read by the first receiver within the first counting and a second number of times each item was read by the second receiver within the second counting;
• provide a graph of the first number of times relative to the second number of times for each item;
• determine, for each cluster, whether the item read events contained therein indicate a presence of the corresponding subset of the items at the second location and in non-compliance with the planogram;
• and
• track the items and the item read events for each cluster over the at least one pre-defined period of time to analyze levels of planogram non-compliance.